Smooth individual level covariates adjustment in disease mapping
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 25, 2018 Category: Biotechnology Source Type: research
Dynamic prediction of cumulative incidence functions by direct binomial regression
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 25, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - March 25, 2018 Category: Biotechnology Source Type: research
Identification of causal effects with latent confounding and classical additive errors in treatment
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Source Type: research
Incorporating historical information in biosimilar trials: Challenges and a hybrid Bayesian ‐frequentist approach
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Source Type: research
Inference from single occasion capture experiments using genetic markers
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Source Type: research
Mixtures of Berkson and classical covariate measurement error in the linear mixed model: Bias analysis and application to a study on ultrafine particles
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Source Type: research
Mixtures of Berkson and classical covariate measurement error in the linear mixed model: Bias analysis and application to a study on ultrafine particles
Abstract
The ultrafine particle measurements in the Augsburger Umweltstudie, a panel study conducted in Augsburg, Germany, exhibit measurement error from various sources. Measurements of mobile devices show classical possibly individual–specific measurement error; Berkson–type error, which may also vary individually, occurs, if measurements of fixed monitoring stations are used. The combination of fixed site and individual exposure measurements results in a mixture of the two error types. We extended existing bias analysis approaches to linear mixed models with a complex error structure including individual–specific ...
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Authors: Veronika Deffner, Helmut K üchenhoff, Susanne Breitner, Alexandra Schneider, Josef Cyrys, Annette Peters Tags: RESEARCH PAPER Source Type: research
Incorporating historical information in biosimilar trials: Challenges and a hybrid Bayesian ‐frequentist approach
Abstract
For the approval of biosimilars, it is, in most cases, necessary to conduct large Phase III clinical trials in patients to convince the regulatory authorities that the product is comparable in terms of efficacy and safety to the originator product. As the originator product has already been studied in several trials beforehand, it seems natural to include this historical information into the showing of equivalent efficacy. Since all studies for the regulatory approval of biosimilars are confirmatory studies, it is required that the statistical approach has reasonable frequentist properties, most importantly, that ...
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Authors: Johanna Mielke, Heinz Schmidli, Byron Jones Tags: RESEARCH PAPER Source Type: research
Inference from single occasion capture experiments using genetic markers
Abstract
Accurate estimation of the size of animal populations is an important task in ecological science. Recent advances in the field of molecular genetics researches allow the use of genetic data to estimate the size of a population from a single capture occasion rather than repeated occasions as in the usual capture–recapture experiments. Estimating the population size using genetic data also has sometimes led to estimates that differ markedly from each other and also from classical capture–recapture estimates. Here, we develop a closed form estimator that uses genetic information to estimate the size of a populati...
Source: Biometrical Journal - March 13, 2018 Category: Biotechnology Authors: Chathurika K. H. Hettiarachchige, Richard M. Huggins Tags: RESEARCH PAPER Source Type: research
A cautionary note on Bayesian estimation of population size by removal sampling with diffuse priors
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - March 12, 2018 Category: Biotechnology Source Type: research
